Podsights has two reasons that the data may result in decimal places in your performance metric.
-
First, Podsights uses a modeled approach to attribution. Modeling is a way for us to extrapolate the data of listeners who were exposed to the ad, but we were not able to confidently match the IP address to a household (i.e. noisy IP data). Our reporting is very conservative as we only perform attribution on IP addresses where we know we can get good data.
-
Secondly, if we see the same household exposed to multiple episodes of a podcast and then convert on the website, we will give partial and equal credit to those episodes/shows that drove a conversion.
- For example, if a user heard 2 ad impressions from 2 different shows and visited the site once (1 pixel fire) - each show would get 0.5 visits.
- For example, if a user heard 2 ad impressions from 2 different shows and visited the site once (1 pixel fire) - each show would get 0.5 visits.